Training in progress epoch 1

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.2437
-- Validation Loss: 0.6349
-- Train Precision: 0.5675
-- Train Recall: 0.5420
-- Train F1: 0.5499
-- Train Accuracy: 0.8343
-- Epoch: 0
+- Train Loss: 0.5456
+- Validation Loss: 0.5544
+- Train Precision: 0.6316
+- Train Recall: 0.6172
+- Train F1: 0.6214
+- Train Accuracy: 0.8435
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 1.2437     | 0.6349          | 0.5675          | 0.5420       | 0.5499   | 0.8343         | 0     |
+| 0.5456     | 0.5544          | 0.6316          | 0.6172       | 0.6214   | 0.8435         | 1     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f26c6245ff5ead59e6fb02781c14264d31282a7bec238ad2e1f627183f4c73fb
+oid sha256:eb2da1b7327f2d6b6b939b966edddb509429ec79d42e5bac82be72a5a3975692
 size 268010440